CVE-2022-35999 — Reachable Assertion in Tensorflow

Vendor	Product	Version range	Fixed in
debian	tensorflow	—	—
google	tensorflow	< 2.7.2	2.7.2
google	tensorflow	—	—
google	tensorflow	>= 2.8.0 < 2.8.1	2.8.1
google	tensorflow	>= 2.9.0 < 2.9.1	2.9.1
intel	optimization_for_tensorflow	>= 0 < 2.7.2	2.7.2
intel	optimization_for_tensorflow	>= 2.8.0 < 2.8.1	2.8.1
intel	optimization_for_tensorflow	>= 2.9.0 < 2.9.1	2.9.1
tensorflow	tensorflow	< 2.7.2	2.7.2
tensorflow	tensorflow	—	—
tensorflow	tensorflow	—	—

Debian

CVE-2022-35999: tensorflow - TensorFlow is an open source platform for machine learning. When `Conv2DBackprop...

vendor_debian·2022·CVSS 5.9

CVE-2022-35999 [MEDIUM] CVE-2022-35999: tensorflow - TensorFlow is an open source platform for machine learning. When `Conv2DBackprop... TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. Scope: local forky: resolved sid: resolved

OSV

TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

osv·2022-09-16

CVE-2022-35999 [MEDIUM] TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput` TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput` ### Impact When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. ```python import tensorflow as tf import numpy as np input_sizes = [3, 1, 1, 2] filter = np.ones([1, 3, 2, 3]) out_backprop = np.ones([3, 1, 0, 3]) strides = [1, 1, 2, 1] padding = 'VALID' tf.raw_ops.Conv2DBackpropInput( input_sizes = input_sizes, filter = filter, out_backprop = out_backprop, strides = strides, padding = padding ) ``` ### Patches We have patched the issue in GitHub commit [27a65a43cf763897fecfa5cdb5cc653fc5dd0346](https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897f

GHSA

TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

ghsa·2022-09-16

CVE-2022-35999 [MEDIUM] CWE-617 TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput` TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput` ### Impact When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. ```python import tensorflow as tf import numpy as np input_sizes = [3, 1, 1, 2] filter = np.ones([1, 3, 2, 3]) out_backprop = np.ones([3, 1, 0, 3]) strides = [1, 1, 2, 1] padding = 'VALID' tf.raw_ops.Conv2DBackpropInput( input_sizes = input_sizes, filter = filter, out_backprop = out_backprop, strides = strides, padding = padding ) ``` ### Patches We have patched the issue in GitHub commit [27a65a43cf763897fecfa5cdb5cc653fc5dd0346](https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897f

CVE-2022-35999: TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current…

Affected

CVSS provenance